A new approach to optimization of generation expansion planning using multi-period multi-objective framework
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 10
Abstract
This paper describes using a new approach to solve multi-period multi-objective optimization of generation expansion planning (MMGEP) problem in deregulated power systems over a long term planning horizon. The model optimises simultaneously multiple objectives (i.e. minimization of total costs, expected energy not served and emissions of generation units and maximisation of system reliability). The mixed-integer programming (MIP) is used for the proposed optimization and an efficient linearisation technique is proposed to convert the non-linear reliability metrics into a set of linear expressions. The proposed solution for multi objective mathematical programming (MMP) framework includes a hybrid augmented–weighted epsilon constraint and lexicographic optimisation approach to obtain the Pareto optimal or efficient solutions for the MMGEP problem. Finally, fuzzy decision making is implemented to select the most preferred solution among Pareto solutions based on the goals of decision makers (DMs). A synthetic test system including five types of candidate units is considered here for GEP in a 6-year planning horizon. The effectiveness of the proposed modifications is illustrated in detail.
Authors and Affiliations
M. Ghaffari rad| Department of Electrical Engineering, dezful branch, islamic azad University, dezful, Iran, email: m_ghaffari@hotmail.com, H. Barati| Department of Electrical Engineering, dezful branch, islamic azad University, dezful, Iran,, B. Mouaref| Department of Electrical Engineering, dezful branch, islamic azad University, dezful, Iran,
Keywords
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